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Record W2006701962 · doi:10.1080/01480540902862277

Genotoxic and antibutyrylcholinesterasic activities of acid violet 7 and its biodegradation products

2009· article· en· W2006701962 on OpenAlexfundno aff
Hédi Ben Mansour, Ridha Mosrati, Ilef Limem, David Corroler, Kamel Ghédira, Daniel Barillier, Leila Chekir Ghédira

Bibliographic record

VenueDrug and Chemical Toxicology · 2009
Typearticle
Languageen
FieldMedicine
TopicCholinesterase and Neurodegenerative Diseases
Canadian institutionsnot available
FundersAgence Universitaire de la Francophonie
KeywordsGenotoxicityBiodegradationChemistryPseudomonas putidaAmine gas treatingCatabolismOrganic chemistryBiochemistryChromatographyToxicityEnzyme

Abstract

fetched live from OpenAlex

Acid violet 7, a sulfonated azo dye was degraded by Pseudomonas putida mt-2 in mineral medium at concentrations up to 200 mg/L. The genotoxicity of AV7 and its biodegradation extracts was evaluated by using the DNA-strand scission assay. No genotoxicity was observed, even with or without exposition to UV irradiation, for biodegradation under shaking conditions, but increased significantly after biodegradation under static conditions. In addition, the ability of tested compounds to reduce human plasma butyrylcholinesterase (BuChE) activity was evaluated in vitro. Genotoxicity and anti-BuChE activity generated by the azoreduction products [4'-aminoacetanilid (4'-AA) and 5-acetamido-2-amino-1-hydroxy-3,6-naphtalene disulfonic acid (5-ANDS)] were assessed and compared with that of the parent unsubstituted amines. 4'-AA exhibited a strong genotoxicity, which was imputed to the presence of the acetoxy (COCH3) substituent on the aromatic amine; however, the presence of sulphonic groups in 5-ANDS seems to be responsible for its BuChE inhibition activity. The present study demonstrates that P. putida mt-2, incubated under aerobic conditions, has a catabolism that enables it to degrade AV7 and, especially, to detoxify the dye mixtures.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.448

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.273
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations15
Published2009
Admission routes1
Has abstractyes

Explore more

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